Depression in dialysis

Development and validation of a nomogram to estimate fatigue probability in hemodialysis patients

OBJECTIVE

This study aims to investigate the factors that influence fatigue in hemodialysis (HD) patients and to develop and validate a nomogram to estimate the probability of fatigue in this population.

METHODS

This cross-sectional study collected 453 patients who underwent HD at the tertiary hospital in Hubei, China, from April to December 2023. They were randomly divided into a 70% training group (n = 316) and a 30% validation group (n = 137). In the training set, factors influencing fatigue were screened using multivariate logistic regression analysis, and a nomogram was developed to estimate fatigue probability in HD patients. The discrimination and calibration of the nomogram were validated in both the training and validation sets through the area under the receiver operating characteristic (ROC) curve (AUC) and the Hosmer-Lemeshow (H-L) test.

RESULTS

In the training group, logistic regression showed that age, dialysis vintage, inter-dialysis weight gain, hemoglobin, depression, insomnia, and social support were variables associated with fatigue in HD patients. Based on these factors, a nomogram for assessing fatigue probability in HD patients was developed. The AUC was 0.955 (95% CI: 0.932-0.977) and 0.979 (95% CI: 0.961-0.997) in the training and validation sets. The results from the H-L test indicated a good fit.

CONCLUSION

The nomogram can evaluate fatigue probability in HD patients and may serve as a convenient clinical tool.

The impact of depression on platelet activation, cardiocerebral vascular events and arteriovenous fistula dysfunction in patients undergoing haemodialysis

Depression is a common psychiatric disorder among patients undergoing maintenance haemodialysis (MHD). Depression may reportedly contribute to poor prognosis in several ways, including its effects on platelet function. We hypothesised that depression contributes to the occurrence of cardiocerebral vascular events (CCVE) and dysfunction of arteriovenous fistula (DAVF) in patients undergoing MHD through its effects on platelets. In this prospective cohort study, patients undergoing MHD were recruited and divided into depression and non-depression groups according to their Hamilton Depression Scale (HAMD) scores. The 286 enrolled patients had 103 occurrences of depressive symptoms (prevalence = 36.01%). Compared with the non-depression group, depression group had a significantly higher cumulative prevalence of CCVE and DAVF during follow-up. Cox regression analysis indicated that higher HAMD scores and lower plasma platelet distribution width (PDW) were common risk factors for CCVE and DAVF. Furthermore, HAMD scores were significantly negatively correlated with plasma PDW and was the main variable affecting changes in PDW, as indicated by multiple linear regression analysis. Depression may increase the risk of CCVE and DAVF in patients undergoing MHD by activating platelets. Plasma PDW may be a convenient indicator of platelet activation status and may predict the risk of CCVE and DAVF.

A systematic review of symptoms experienced by children and young people with kidney failure

BACKGROUND

Kidney failure at any age has a significant impact on quality of life (QoL) but the overall symptom burden for children and young people (CYP) is poorly described. Kidney failure has no cure and whilst transplantation is the preferred management option, it is not always possible, with patients requiring supportive care at the end of their lives.

AIM

To use the literature to understand the symptom burden for CYP with kidney failure who are approaching end-of-life.

METHODS

Using three databases, a systematic literature review was performed to identify eligible studies to extract data on symptoms experienced in CYP aged < 21 years with kidney failure. Data extraction was completed by two authors using a pre-designed proforma. Study quality assessment was undertaken using the BMJ AXIS tool.

RESULTS

A total of 20,003 titles were screened to yielding 35 eligible studies including 2,862 CYP with chronic kidney disease (CKD), of whom 1,624 (57%) had CKD stage 5. The studies included a median of 30 (range 7-241) patients. Symptoms were subcategorised into eight groups: sleep, mental health, gastrointestinal, dermatology, ear, nose and throat (ENT), neurology, multiple symptoms, and ophthalmology. The prevalences of the most commonly reported symptoms were: restless leg syndrome 16.7-45%, sleep disordered breathing 20-46%, hypersomnia 14.3-60%, depression 12.5-67%, anxiety 5.3-34%, overall gastrointestinal symptoms 43-82.6%, nausea and vomiting 15.8-68.4%, abdominal pain 10.5-67.4%, altered appetite or anorexia 19-90%, xerosis 53.5-100%, pruritis 18.6-69%, headache 24-76.2% and ophthalmological symptoms 26%. Within each subgroup, the symptom definitions used were heterogeneous, the methods of assessment were varied and some symptoms, such as pain and constipation, were poorly represented.

CONCLUSIONS

There is a marked lack of evidence relating to the symptom burden for CYP with CKD. This study highlights the high symptom prevalence, particularly in relation to sleep, mental health, headache, dermatological and gastrointestinal symptoms. There is a need for consensus recommendations on the evaluation and management of symptoms for CYP with CKD approaching end-of-life.

PROSPERO ID

CRD42022346120.

The Mediating Effect of Symptom Burden in the Depression and Quality of Life in Patients with Maintenance Hemodialysis

Objective

To investigate current status of quality of life and the association between depression and symptom burden in a sample of Chinese maintenance hemodialysis (MHD) patients.

Methods

A self-designed patient general information questionnaire, disease-related information questionnaire, dialysis patient symptom burden scale, depression scale, and quality of survival scale were used to investigate 380 maintenance haemodialysis patients in haemodialysis centres. A regression model of the factors affecting the quality of survival was established using structural equation modelling.

Results

The regression model data had a high goodness of fit: c2/df = 4.736, RMSEA = 0.099, GFI = 0.918, CFI = 0.972, TLI = 0.962, SRMR = 0.0469. Structural equation model analysis showed that depression had a positive predictive effect on symptom burden, β = 0.398, P < 0.001; Symptom burden had a negative predictive effect on the quality of life, β =-0.851, P < 0.001; and Depression had a negative predictive effect on the quality of life, β =-0.151, P < 0.001. Depression indirectly affects the quality of life through symptom burdens.

Conclusion

Depression and symptom burden directly or indirectly affect the quality of life in patients with maintenance hemodialysis. Symptom burden moderates the relationship between depression and quality of life as a mediating variable.

Benefit finding in individuals undergoing maintenance hemodialysis in Shanghai: a latent profile analysis

Objective

This multi-center cross-sectional study aimed to delineate latent profiles of benefit finding (BF) in individuals undergoing maintenance hemodialysis (MHD) in Shanghai and examine associations between these BF profiles, social support, and coping style.

Methods

A total of 384 individuals undergoing MHD (mean age = 57.90, SD = 13.36) were assessed using the Benefit Finding Scale, Simplified Coping Style Questionnaire, and Perceived Social Support Scale. Latent profile analysis (LPA) identified distinct BF categories. Analysis of variance (ANOVA) evaluated the correlation between BF groups and demographic variables, while the relationship between BF, social support, and coping style was tested through correlation and multiple regression analyses.

Results

LPA identified three BF groups: rich BF (54.17%), moderate BF (41.14%), and poor BF (4.69%). Regression analyses indicated that positive coping and social support are protective factors for BF. Additionally, older age and heightened understanding of MHD correlated with higher BF levels.

Conclusion

The findings highlighted the importance of recognizing different BF profiles in individuals on MHD and working toward promoting BF levels in the rich BF and moderate BF groups, while helping the poor BF group to identify and address their challenges. Medical professionals should consider interventions tailored to individual psychological profiles to improve mental health and quality of life outcomes in this population.

Novel risk-factor analysis and risk-evaluation model of falls in patients receiving maintenance hemodialysis

This study investigated the prevalence of falls in maintenance hemodialysis (MHD) patients, and established a nomogram model for evaluating the fall risk of MHD patients. This study enrolled 303 MHD patients from the dialysis department of a tertiary hospital in July 2021. The general data of the participants, as well as the scores on the FRAIL scale, Sarcopenia Screening Questionnaire (SARC-F), Short Physical Performance Battery (SPPB) Scale, and of anxiety and depression, and the occurrence of falls were recorded. Using R language, data were assigned to the training set (n = 212) and test set (n = 91), and a logistic regression model was established. The regression model was verified by the receiver operating characteristic (ROC) curve, area under the curve (AUC), and the calibration curve. As a result, the prevalence of falls in MHD patients was 20.46%. Risk factors for falls in the optimal multivariate logistic regression model included hearing impairment, the depression score, and the SPPB score, of which a higher depression score (odds ratio (OR): 1.28, 95% confidence interval (CI): 1.09-1.49, p = 0.002) and SPPB ≤ 6 (OR_vsSPPB9-12: 3.69, 95% CI: 1.04-13.14, p = 0.043) conferred independent risk for falls. AUC of the nomogram in the training was 0.773, which in the test group was 0.663. The calibration and standard curves were fitted closely, indicated that the evaluation ability of the model was good. Thus, a higher depression score and SPPB ≤ 6 are independent risk factors for falls in MHD patients, and the nomogram with good accuracy and discrimination that was established in this study has clinical application value.

Independent risk factors for depression in older adult patients receiving peritoneal dialysis for chronic kidney disease

BACKGROUND

According to the trend of global population aging, the proportion of elderly patients with chronic kidney disease (CKD) is expected to increase. However, there are more than 20 million people in China with decompensated kidney function, of which 19.25% are elderly people. Therefore, special attention should be paid to the education years, sleep quality, anxiety status, comorbidities with diabetes, cardiovascular disease (CVD), and anemia as independent risk factors for depression in elderly CKD patients. This study explores the clinical mana-gement of elderly CKD patients that should address these risk factors to prevent depression and improve their prognosis.

AIM

To investigate depression risk factors in older patients receiving peritoneal dialysis, aiding future prevention of depression in these patients.

METHODS

This retrospective study included a primary study population of 170 patients with CKD who received peritoneal dialysis from January 2020 to December 2022. We assessed the patients’ mental status using the Beck Depression Inventory Score-II (BDI-II), Self-Rating Anxiety Scale (SAS), Anxiety Inventory Score, and the Pittsburgh Sleep Quality Index (PSQI). Logistic regression was employed to identify depression independent risk factors among these patients.

RESULTS

The non-depressed group had a significantly longer education period than the depressed group (P < 0.05). The depressed group exhibited significantly higher mental status scores than the non-depressed group (P < 0.001). Patients with diabetes mellitus (DM) or CVD had a higher probability of developing dep-ression. Patients with depression had significantly lower hemoglobin and albumin levels than patients without depression (P < 0.05). Spearman correlation analysis of BDI-II scale scores, measuring depression, indicated positive correlations with BDI-II and SAS scores as risk factors for depression in patients with CKD. In contrast, years of education, hemoglobin levels, and peritoneal Kt/V were negatively correlated, serving as protective factors against depression. An analysis of variance for influences with significant differences in the univariate analysis revealed that years of schooling, BDI-II, SAS, PSQI, DM, CVD, and hemoglobin levels independently influenced depression in older patients with CKD.

CONCLUSION

Education, BDI-II, SAS, PSQI, DM, and CVD are independent risk factors for depression in older patients with CKD; therefore, post-treatment psychological monitoring of high-risk patients is crucial to prevent depression.

Decreased Intracellular to Total Body Water Ratio and Depressive Symptoms in Patients with Maintenance Hemodialysis

Objective

Depression is a common psychiatric disorder and related to poor outcomes in patients undergoing maintenance hemodialysis (MHD). Previous studies have reported some associations between sarcopenia and depressive symptoms. Recently, intracellular water (ICW) and total body water (TBW) have been found to reflect muscle function and muscle mass. ICW/TBW ratio is a marker of sarcopenia that is simple to assess. However, the relationship between ICW/TBW ratio and depression has not been explored in MHD patients.

Methods

In our cross-sectional and multi-center study, 3300 adult MHD patients were included from June 1, 2021, to August 30, 2021. Depressive symptoms were evaluated using the Beck Depression Inventory-II (BDI-II). TBW and ICW were measured by Body Composition Monitor (BCM). Multivariable logistic regression, stratified analyses, and interactive analyses were conducted to assess the relationship between ICW/TBW ratio and depression.

Results

About 16.5% of the 3300 MHD patients were found to have depressive symptoms. The prevalence of depression increased with decreasing quartiles of ICW/TBW ratios, and decreased ICW/TBW ratio was independently associated with depression after adjusting for potential confounders. Patients in Quartile 1 of ICW/TBW ratios were more likely to have depressive symptoms (odds ratio 1.55, 95% confidence interval 1.07-2.22; p=0.002) than those in Quartile 4. History of diabetes and education status had interactive roles in the relationship between depression and ICW/TBW ratios (p < 0.05). The association of ICW/TBW ratios and depression existed in patients of both genders and different education levels, but only in non-diabetic patients.

Conclusion

In MHD patients, the decreased ratio of ICW/TBW was independently related to high depression rates.

The Effects of Dialysis Modality and Emotional Distress on Fatigue in Patients Undergoing Dialysis

INTRODUCTION

Fatigue is a common but often overlooked symptom in dialysis patients. Factors affecting fatigue in dialysis patients are currently unclear. There are few studies on the effects of mental factors and dialysis modality on fatigue. This study aims to explore the potential relationship between fatigue and insomnia, as well as psychiatric disorders such as anxiety and depression among patients who undergo peritoneal dialysis (PD) or hemodialysis (HD).

METHODS

There were 96 HD patients and 160 PD patients at our hospital who voluntarily participated in the survey. A questionnaire survey was conducted to gather general characteristics of the patients and to evaluate fatigue, sleep quality, anxiety, and depression levels among PD and HD patients.

RESULTS

The overall fatigue score was 53.83 ± 14.22 for the PD group and 57.92 ± 16.35 for the HD group. Notably, the fatigue level was lower in the PD group compared to the HD group (p < 0.05). Univariate analysis indicated that fatigue was associated with occupational status and income in the PD group, as well as educational level and income in the HD group (p < 0.05). Correlation analysis revealed that patients in both groups who were older and had higher scores for insomnia, anxiety, and depression experienced more severe fatigue. Moreover, body mass index was positively correlated with fatigue status in the PD group, while duration of dialysis showed a positive association with fatigue in the HD group. Multivariate regression analysis identified income and depression as major factors influencing fatigue in the PD group, and duration of dialysis, income, and depression in the HD group.

CONCLUSION

Patients who undergo dialysis exhibit high levels of fatigue, with the severity of fatigue being less pronounced in the PD group compared to the HD group. Fatigue in these patients is associated with the duration of dialysis, income level, and presence of depression.

Managing the symptom burden associated with maintenance dialysis: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference

Individuals with kidney failure undergoing maintenance dialysis frequently report a high symptom burden that can interfere with functioning and diminish life satisfaction. Until recently, the focus of nephrology care for dialysis patients has been related primarily to numerical targets for laboratory measures, and outcomes such as cardiovascular disease and mortality. Routine symptom assessment is not universal or standardized in dialysis care. Even when symptoms are identified, treatment options are limited and are initiated infrequently, in part because of a paucity of evidence in the dialysis population and the complexities of medication interactions in kidney failure. In May of 2022, Kidney Disease: Improving Global Outcomes (KDIGO) held a Controversies Conference-Symptom-Based Complications in Dialysis-to identify the optimal means for diagnosing and managing symptom-based complications in patients undergoing maintenance dialysis. Participants included patients, physicians, behavioral therapists, nurses, pharmacists, and clinical researchers. They outlined foundational principles and consensus points related to identifying and addressing symptoms experienced by patients undergoing dialysis and described gaps in the knowledge base and priorities for research. Healthcare delivery and education systems have a responsibility to provide individualized symptom assessment and management. Nephrology teams should take the lead in symptom management, although this does not necessarily mean taking ownership of all aspects of care. Even when options for clinical response are limited, clinicians should focus on acknowledging, prioritizing, and managing symptoms that are most important to individual patients. A recognized factor in the initiation and implementation of improvements in symptom assessment and management is that they will be based on locally existing needs and resources.

Biochemical and Sociodemographic Correlates of Major Depressive Disorder in Patients With Chronic Kidney Disease Receiving Hemodialysis

Introduction Chronic kidney disease (CKD) is a chronic disabling illness with multiple physical and psychosocial consequences. A major treatment modality for CKD is renal replacement therapy in the form of hemodialysis. A bidirectional relationship between depression and CKD is proposed, as depressive symptoms lead to poorer outcomes in CKD and vice versa. This study aimed to determine the prevalence of major depressive disorder (MDD) in CKD patients on maintenance hemodialysis and find any sociodemographic, clinical, or biochemical correlates. Material and methods This was a cross-sectional study conducted at a tertiary care teaching hospital in north India. We used clinical interviews for diagnosing MDD according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). The severity was quantified using Hamilton Depression Rating Scale (HAM-D) in those diagnosed with MDD.  Results A total of 77 patients were included in the study. The prevalence of MDD in patients with CKD undergoing hemodialysis was 31.17%, much higher than in the general population. Most of those who were depressed had moderate to severe depression. Male gender and lower socioeconomic status were significantly associated with the diagnosis of MDD. Those undergoing dialysis less frequently or having more work days lost due to CKD were more likely to be depressed. Additionally, patients with MDD were found to have significantly lower blood hemoglobin levels, lower serum ionized calcium levels, and a lower urea reduction ratio compared to those who did not have MDD. Conclusion The high prevalence of MDD in patients with CKD undergoing hemodialysis suggests that clinicians should actively evaluate for depressive symptoms in this patient population and refer them to mental health services when required, especially those with the above-identified sociodemographic and biochemical risk factors.

Two-step screening for depressive symptoms in patients treated with kidney replacement therapies: a cross-sectional analysis

BACKGROUND

Systematic screening for depressive symptoms may identify patients who may benefit from clinical assessment and psychosocial support. Here we assess a two-step screening using ultrabrief pre-screeners [Edmonton Symptom Assessment Survey-revised Depression item (ESASr-D) or Patient Health Questionnaire-2 (PHQ-2)] followed by the Patient-Reported Outcomes Measurement Information System Depression questionnaire (PROMIS-D) to identify depressive symptoms in patients on kidney replacement therapies.

METHODS

We conducted a cross-sectional study of adults (kidney transplant recipients or treated with dialysis) in Toronto, ON, Canada. We simulated various two-step screening scenarios where only patients above a pre-screening cut-off score on the ESASr-D or PHQ-2 would move to step 2 (PROMIS-D). Screening performance was evaluated by sensitivity, specificity and positive and negative predictive values using the Patient Health Questionnaire-9 (PHQ-9) as the referent. The average number of items completed by patients in different scenarios was reported.

RESULTS

Of 480 participants, 60% were male with a mean age of 55 years. Based on PHQ-9, 19% of patients had moderate or severe depressive symptoms. Pre-screening with a PHQ-2 score ≥1 combined with a PROMIS-D score of ≥53 provided the best two-step results (sensitivity 0.81, specificity 0.84, NPV 0.95). Two-step screening also reduces question burden.

CONCLUSIONS

A two-step screening using a PHQ-2 score ≥1 followed by a PROMIS-D score ≥53 has good sensitivity and specificity for identifying potentially significant depressive symptoms among patients on kidney replacement therapies. This approach has lower question burden. Screened-in patients will need further clinical assessment to establish a diagnosis.

Prevalence and predisposing factors of depressive symptoms in continuous ambulatory peritoneal dialysis patients: a cross-sectional single center study

BACKGROUND

The aim of this study was to identify the prevalence of the depressive symptoms and the factors associated with the depressive symptoms in peritoneal dialysis patients.

METHODS

A cross-sectional study was carried out to evaluate the prevalence and associated factors of depression in 132 continuous ambulatory peritoneal dialysis patients. Depression was evaluated using Zung Self-Rating Depression Scale. Sociodemographic and clinical characteristic were also investigated. Univariate analysis and multivariate logistic regression analysis were performed to select factors associated with depressive symptoms.

RESULTS

Their median age was 57.5 years, and 58.3% were male. The rate of depressive symptoms in peritoneal dialysis patients was 78.0%. The rate of moderate/severe depressive symptoms was 64.4%. Multivariable logistic regression analysis showed that lower serum hemoglobin was significantly associated with increased risks of depression (OR = 0.989, 95CI%=0.979-0.998, p = 0.023).

CONCLUSION

Depression was highly prevalent in the peritoneal dialysis patients. Serum hemoglobin was independent risk factor for depressive symptoms in peritoneal dialysis patients.

Development of a risk prediction nomogram for sarcopenia in hemodialysis patients

Background

Sarcopenia is associated with various adverse outcomes in hemodialysis patients. However, current tools for assessing and diagnosing sarcopenia have limited applicability. In this study, we aimed to develop a simple and reliable nomogram to predict the risk of sarcopenia in hemodialysis patients that could assist physicians identify high-risk patients early.

Methods

A total of 615 patients undergoing hemodialysis at the First Affiliated Hospital College of Medicine Zhejiang University between March to June 2021 were included. They were randomly divided into either the development cohort (n = 369) or the validation cohort (n = 246). Multivariable logistic regression analysis was used to screen statistically significant variables for constructing the risk prediction nomogram for Sarcopenia. The line plots were drawn to evaluate the effectiveness of the nomogram in three aspects, namely differentiation, calibration, and clinical net benefit, and were further validated by the Bootstrap method.

Results

The study finally included five clinical factors to construct the nomogram, including age, C-reactive protein, serum phosphorus, body mass index, and mid-upper arm muscle circumference, and constructed a nomogram. The area under the ROC curve of the line chart model was 0.869, with a sensitivity and specificity of 77% sensitivity and 83%, the Youden index was 0.60, and the internal verification C-statistic was 0.783.

Conclusions

This study developed and validated a nomogram model to predict the risk of sarcopenia in hemodialysis patients, which can be used for early identification and timely intervention in high-risk groups.